{"ok":true,"engine":"aicost.msp-ai-readiness","inputs":{"clients":22,"clientsAskingAiPct":48,"copilotSeats":120,"currentAiRevenueUsd":800,"meteringInPlace":0,"governancePolicy":0,"pricingMethod":0,"teamAiSkills":1,"avgClientSeats":40,"targetServiceFeeUsd":750},"result":{"ok":true,"verdict":"NEARLY READY","verdictReason":"Readiness 38/100 with 11 clients already asking about AI.","decision":"PILOT WITH 3 CLIENTS","decisionDetail":"Close the top gap below, then pilot with your three most AI-curious clients at full price. Expand on proof.","readinessScore":38,"clientsInterested":11,"arrOpportunityLowUsd":23760,"arrOpportunityHighUsd":47520,"newMrrPerClientUsd":750,"newMrrLowUsd":1980,"newMrrHighUsd":3960,"topGap":"Usage metering & budgets per client","gapAreas":[{"label":"Usage metering & budgets per client","fix":"Meter AI usage per client; set budgets and alerts before selling flat fees on metered costs."},{"label":"AI governance policy & data-risk tiers","fix":"Publish an AI use policy; set governance floors by data-risk tier (blocks bad launches)."},{"label":"Margin-floor pricing (cost ÷ (1−margin))","fix":"Reprice from flat fees to floors built on real model costs; meter when usage >50% of fee."}],"launchPath":["1. Score & scope: pick the first offer (Copilot value assurance is the fastest).","2. Foundations: metering + governance policy + budgets per client.","3. Price it: cost ÷ (1−margin) floors from real model costs; meter heavy usage.","4. Pilot: 3 clients, full price, 60 days, QBR-ready value report.","5. Scale: white-label the report, add the next offer, raise at renewal."],"memo":"Readiness 38/100. 11 of 22 clients (48%) are asking about AI. At $750/client/mo and 25–50% capture, the unsold opportunity is new AI MRR of $1,980–$3,960/mo ($23,760–$47,520/yr*). Top gap: Usage metering & budgets per client.","questions":["Which three clients would pilot a paid AI service this quarter?","What happens today when a client’s AI usage doubles mid-month?","Who on the team owns AI cost reporting for QBRs?"],"assumptions":["48%/13% demand-revenue gap per Kaseya 2026 MSP survey*.","ARR band assumes 25–50% capture of asking clients at your target fee; replace with your pipeline.","Scores weight metering + governance heaviest: they are what make AI services provable and safe to sell."],"inputs":{"clients":22,"clientsAskingAiPct":48,"copilotSeats":120,"currentAiRevenueUsd":800,"meteringInPlace":0,"governancePolicy":0,"pricingMethod":0,"teamAiSkills":1,"avgClientSeats":40,"targetServiceFeeUsd":750}}}